Park Jae-beom, CEO of Angle Company, Forecasts: “AI Agents Will Become a Core Technology for Enterprise Operations”

AI Agents: Introducing a New Paradigm for Running a Business

AI technology is moving beyond simple automation to become an essential component of enterprise operations.

In particular, AI agent technology is advancing rapidly and is drawing attention as a core driver of corporate innovation.

On February 27 in Samseong-dong, the “Latest Trends in AI Agents and Enterprise Adoption Cases” seminar featured Park Jae-beom, founder and CEO of Angle Company, who offered deep insights into the present and future of AI agents.

The event also focused on how AI agents affect corporate management and the strategies for adopting them.

AI Agents: A Core Technology for Enterprise Operations

As AI advances, it is no longer limited to automating repetitive tasks; it is becoming indispensable to how companies operate. AI agent technology, in particular, is emerging as a key force behind enterprise transformation.

Against this backdrop, it is critical to examine the impact of AI agents on business management and how best to introduce them.

What Is an AI Agent?

An AI agent is an autonomous AI system that automates corporate tasks, analyzes data, and supports decision-making.

AI agents built on large language models (LLMs) can be applied across many industries, and, with the right model choices, companies can build applications that fit their needs with relative ease.

The main roles of AI agents include:

1. Workflow automation: They handle repetitive administrative work automatically, boosting efficiency.

2. Data analysis and decision support: They analyze large volumes of data in real time and help organizations make optimal decisions.

3. Cost reduction and productivity gains: By replacing portions of traditional BPO and streamlining tasks, they can reduce workforce needs by up to 70%, delivering substantial cost savings.

However, most AI agents today are used as tools that assist discrete tasks and are best suited to SMEs whose products and customer profiles are relatively simple or small-scale. To deliver greater value, AI agents need to be extended across the entire operating process.

The Evolution of AI Agents

AI agents are steadily progressing toward an enterprise operating system—the “agentic enterprise”—through the following stages:

Level 1 – No-use AI: No need for AI adoption.

Level 2 – Simple automation AI: Executes predefined, rules-based repetitive tasks (where many current AI solutions sit).

Level 3 – Autonomous execution AI: Learns and acts autonomously toward a given goal.

Level 4 – System-design AI: Designs and runs systems and processes tailored to objectives.

Level 5 – Decision-making AI: Leads the entire cycle from problem discovery to resolution.

Most AI agents currently operate at Levels 2–3 as automation and assistive tools, but they are likely to advance to Levels 4–5, where AI leads enterprise-wide operations.

Key Considerations for Adopting AI Agents

To successfully deploy AI agents, companies should account for the following:

1. Integration with existing data: Ensure seamless connections to internal systems and databases.

   This enables more accurate analysis and stronger decision support.

2. Handling diverse data formats: Apply multimodal AI so the system can understand and analyze text, images, audio, and more.

3. Cost reduction and revenue creation: Go beyond saving costs to designing strategies that create new business models and revenue streams.

When these elements are in place, AI agents can move beyond basic task automation and become an operating system that strengthens a company’s core competitiveness.

The Rise of Multi-Agent and Supervisor-Agent Architectures

Going forward, AI agents will expand into multi-agent and supervisor-agent paradigms.

Multi-AI agents: Different specialized agents collaborate to solve complex problems.

For example, one agent analyzes data while another develops the optimal marketing strategy.

Supervisor agent: Orchestrates multiple specialized agents, assigns the best tasks, and manages the overall process.

With these concepts, AI agents will handle complex corporate decisions faster and more accurately, offering responses that are more refined and flexible than traditional single-model approaches.

Agentic Enterprises: How AI Agents Will Reshape Organizations

AI agents will evolve from simple automation tools into the core of an “agentic enterprise.” As this happens, companies will experience changes such as:

Moving beyond repetitive tasks to optimizing business logic.

Accelerating decision-making through adaptive decision scenarios.

Replacing portions of outsourcing processes while maximizing internal productivity.

These shifts signal that AI agents will become strategic assets that determine competitive advantage, not merely technical tools.

Conclusion: AI Agents Will Decide the Future of the Enterprise

AI agents are no longer optional.

A company’s success will increasingly depend on how effectively it adopts and leverages AI agents.

By deploying AI agents, organizations can achieve faster, more accurate decisions, optimized workflows, and new avenues for growth.

To strengthen competitiveness, now is the optimal time to bring AI agents into the enterprise.